PSAM 16 - Paper Overview

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Lead Author: Jooyoung Park Co-author(s): Ronald Boring, Ronald.Boring@inl.gov Thomas Ulrich, Thomas.Ulrich@inl.gov

An Approach to Dynamic Human Reliability Analysis using EMRALD Dynamic Risk Assessment Tool
Research for dynamic human reliability analysis (HRA) (a.k.a., simulation-based or computation-based HRA) has been required, as many researchers have emphasized the importance of dynamic approaches to probabilistic safety assessment (PSA). Transiting from static to dynamic HRA may be beneficial to realistically model and evaluate human actions as they would be performed in a system. In the static HRA, a human action is divided into human components like diagnosis and execution, then is quantified by summing the error probabilities of the components. However, this approach may miss the dynamic characteristic of the actual operation that operators continuously diagnose the given situation and execute proper actions based on procedures. Furthermore, the static HRA has estimated time availability for human actions based on structured interviews with knowledgeable experts like operators. It may be also challengeable to specifically evaluate if they can finish the actions by considering unexpected factors critical to the system safety. To treat these challenges, this study proposes an approach to dynamic HRA using the Event Modeling Risk Assessment using Linked Diagram (EMRALD) software, which is a dynamic risk assessment tool developed by Idaho National Laboratory. In this study, how to model human actions using the software and evaluate the error probabilities will be suggested. The applicability of this approach will be also investigated through an extended loss of AC power scenario. Then, major insights from this dynamic HRA approach against the static one will be discussed in the paper.

An Approach to Dynamic Human Reliability Analysis using EMRALD Dynamic Risk Assessment Tool

Research for dynamic human reliability analysis (HRA) (a.k.a., simulation-based or computation-based HRA) has been required, as many researchers have emphasized the importance of dynamic approaches to probabilistic safety assessment (PSA). Transiting from static to dynamic HRA may be beneficial to realistically model and evaluate human actions as they would be performed in a system. In the static HRA, a human action is divided into human components like diagnosis and execution, then is quantified by summing the error probabilities of the components. However, this approach may miss the dynamic characteristic of the actual operation that operators continuously diagnose the given situation and execute proper actions based on procedures. Furthermore, the static HRA has estimated time availability for human actions based on structured interviews with knowledgeable experts like operators. It may be also challengeable to specifically evaluate if they can finish the actions by considering unexpected factors critical to the system safety. To treat these challenges, this study proposes an approach to dynamic HRA using the Event Modeling Risk Assessment using Linked Diagram (EMRALD) software, which is a dynamic risk assessment tool developed by Idaho National Laboratory. In this study, how to model human actions using the software and evaluate the error probabilities will be suggested. The applicability of this approach will be also investigated through an extended loss of AC power scenario. Then, major insights from this dynamic HRA approach against the static one will be discussed in the paper.

Paper JO68 Preview

Author and Presentation Info

Lead Author Name: Jooyoung Park (jooyoung.park@inl.gov)

Bio:

Country: United States of America
Company: Idaho National Laboratory
Job Title: Scientist

PSAM 16 Conference Paper Overview

Welcome to the PSAM 16 Conference paper and speaker overview page.

Paper JO68 Preview

Author and Presentation Info

Download paper JO68.